{"id":"W2333504887","doi":"10.1016/j.cjca.2013.07.451","title":"Different Characteristics of Disease Detection Between 18F-Fluorodeoxyglucose-Positron Emission Tomography (FDG-PET) and Cardiac Magnetic Resonance (CMR) in Patients With Conduction Disease Due to Cardiac Sarcoidosis","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Sarcoidosis and Beryllium Toxicity Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Positron emission tomography; Magnetic resonance imaging; Cardiac magnetic resonance; Fluorodeoxyglucose; Cardiac sarcoidosis; Cardiac magnetic resonance imaging; Radiology; Sarcoidosis; Nuclear medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007257025,0.0003339744,0.0004516907,0.001067969,0.0002978267,0.0008508757,0.0003210247,0.0008882427,0.001355917],"category_scores_gemma":[0.005592322,0.000235013,0.0003823276,0.0005493553,0.0004381389,0.0006893356,0.000322419,0.0004018798,0.0003242719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000403911,"about_ca_system_score_gemma":0.0002711869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002051585,"about_ca_topic_score_gemma":0.00184225,"domain_scores_codex":[0.9994451,0.0001087842,0.00009527089,0.0001125004,0.00008195674,0.0001563108],"domain_scores_gemma":[0.9973621,0.001252408,0.0005125738,0.00008204372,0.0002870229,0.0005039189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007255441,0.00005979953,0.994456,0.000008715118,0.00002689232,0.001487041,0.000167921,0.00003961153,0.001253556,0.00002097846,0.00003721556,0.001716844],"study_design_scores_gemma":[0.00002726659,0.0002345001,0.9946096,0.000008808688,0.00004263316,0.003995843,0.0003827862,0.0002853309,0.0002451131,0.00004909045,0.0001102353,0.000008826768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999051,0.0002735582,0.00005257909,0.00003208446,0.00000780664,0.000003065959,0.00002606394,0.00000149395,0.00055227],"genre_scores_gemma":[0.9997784,0.0000546142,0.00002980802,0.00002406138,0.00001447725,0.000001905705,0.0000497305,0.000001217062,0.00004593709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002051585,"threshold_uncertainty_score":0.004535973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008225155823787099,"score_gpt":0.2158759854520303,"score_spread":0.2076508296282432,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}